If you’re already familiar with Power BI  and Power Automate , you know how powerful it is when these two tools work together. But one of the most game-changing triggers  in Power Automate is: 👉 “Run a query against a dataset” This trigger lets you execute DAX queries (Data Analysis Expressions)  directly against your Power BI dataset from a flow. That means you can extract aggregated results, row-level values, or KPIs in real time — and then use that information to trigger

Hook:  Hard-coded paths are silent project killers. Move a file, share a workbook, or publish a PBIX—and boom: refresh fails. Goal:  In ~10 minutes you’ll set up robust, parameter-driven paths for Excel (Power Query) and Power BI (Desktop & Service), plus a tiny, reusable M pattern you can paste into any project. 1) Why hard-coded paths fail When you embed "C:\Users\Alice\Project\data.csv" in a query, anyone whose files live elsewhere (e.g., D:\Work\Data\) will get errors. I

Microsoft Power BI Desktop  contains a rich set of modelling and reporting features, yet many power users enhance their workflow with external tools . These tools attach to the Analysis Services instance behind a PBIX/Power BI semantic model and allow advanced editing, scripting, performance analysis and automation. The External Tools  ribbon lists all registered tools, and Microsoft warns that these are produced by independent developers; editing metadata outside Power BI De

Introduction Building effective Power BI reports is not just about loading data and creating visuals—it’s about structuring your data model correctly. Relationships are at the heart of that structure. In this post, we’ll explore what relationships in Power BI are, why they matter, how to create and manage them, and some advanced tricks to avoid common pitfalls. Understanding Relationships in Power BI Relationships define how tables connect with each other. Without them, your

If you're a moderately experienced Power BI user, you’ve likely encountered the CALCULATE  function in DAX (Data Analysis Expressions)....

Excel users often seek efficient ways to retrieve data from large spreadsheets. Two powerful functions that stand out in this pursuit are...

Goal:  a fast, self-updating Power BI report that tracks earthquakes in the European–Mediterranean region (with a global table for comparison), highlights activity hotspots, and surfaces clean KPIs for decision-making. Scope: Earthquakes in the European-Mediterranean region with magnitude 4.5 or greater within the last 720 days or the last 2 years. Source: ETH Zürich - Swiss Seismological Service (HTML daily data): http://www.seismo.ethz.ch/en/earthquakes/europe/last90daysMa

Power BI’s Power Query (M language) allows creating custom functions and reusable query steps to simplify common tasks. Below are five...

Want faster refreshes and snappier previews? Here’s a practical, no-nonsense guide to making Power Query load much  quicker using only...

This post walks through the exact setup shown in your screenshots: folder-based CSV ingestion in Power Query, a tidy star schema, an FX...

Power BI is a powerful business intelligence tool. The DAX (Data Analysis Expressions) language allows users to create custom...

Imagine spending hours perfecting your Power BI reports, only to struggle when trying to present them clearly to your stakeholders or...

Have you ever received an email with a link to download a CSV or Excel file, and wished it could just go straight into your Excel sheet...

When you're transforming data in Power BI or Excel using Power Query, you're bound to run into errors —mismatched data types, division by...

Power BI's secret sauce is DAX (Data Analysis Expressions)  – a formula language that lets you create dynamic calculations and advanced...

Power Query  is Microsoft’s powerhouse tool for data transformation and automation, built into Excel and Power BI. If you’ve ever spent...

Every industry in today’s data-driven world is discovering the value of turning raw data into actionable insights. Microsoft Power BI, a...

In today’s data-driven world, knowing how to analyze and understand data is more critical than ever. Two prominent players stand out for...